Job Summary

We are looking for a Junior GenAI Support Engineer to join Global DevOps Support at PDC, supporting the operational backbone behind the GenAI tools, agents, and connectors used across R&D. Working alongside senior team members, this role helps run the dedicated AI tools support function, assists with the service account and secrets lifecycle for AI connectors, and helps operate the internal AI hosting platform (PCA) — a great entry point into AIOps for someone who already thinks and works in an AI-tooling mindset and wants to build deep DevOps/infrastructure skills around it.

Key Responsibilities

• A genuine AI mindset: working understanding of core GenAI concepts (what an LLM, prompt, agent, and connector/MCP actually are) and daily hands-on comfort using AI tools (Copilot, Claude, ChatGPT, or similar) as a user.
• Basic infrastructure fundamentals as a must: Linux basics (plus basic Windows administration), scripting basics (Python/Bash), and basic cloud/networking concepts.
• Working familiarity with CI/CD tooling (Azure DevOps, Jenkins, GitLab CI, GitHub Actions, or similar) — has used these tools, not necessarily built pipelines from scratch.
• Familiarity with prompt engineering, RAG, or AI agent design concepts.
• Hands-on experience with any enterprise GenAI platform (Azure OpenAI, Microsoft Copilot, Claude/Anthropic, Vertex AI, or similar).
• Working familiarity with containers (Docker, Kubernetes, Helm) — conceptual understanding and basic hands-on use.
• A genuine AI mindset: working understanding of core GenAI concepts (what an LLM, prompt, agent, and connector/MCP actually are) and daily hands-on comfort using AI tools (Copilot, Claude, ChatGPT, or similar) as a user.
• Basic infrastructure fundamentals as a must: Linux basics (plus basic Windows administration), scripting basics (Python/Bash), and basic cloud/networking concepts.
• Working familiarity with CI/CD tooling (Azure DevOps, Jenkins, GitLab CI, GitHub Actions, or similar) — has used these tools, not necessarily built pipelines from scratch.
• Familiarity with prompt engineering, RAG, or AI agent design concepts.
• Hands-on experience with any enterprise GenAI platform (Azure OpenAI, Microsoft Copilot, Claude/Anthropic, Vertex AI, or similar).
• Working familiarity with containers (Docker, Kubernetes, Helm) — conceptual understanding and basic hands-on use.
• Comfort working within a ticketing/ITSM system, handling first-line triage and escalation per a defined SLA.
• Strong communication skills, with the ability to help write clear runbooks, BKMs, and FAQs for both technical and non-technical users.
• Comfort working in Agile/Scrum teams.
• Fast learner, comfortable asking questions and escalating — this role grows quickly from execution into ownership.
• 1–3 years of DevOps, IT, or infrastructure support experience (including internship/junior roles).

Skill Requirements

• Core AI Concepts (LLM, Prompt, Agent and Connector / MCP)
• AI Tools
• Scription Knowledge (Python / Bash)
• Familiarity on CI/CD tool (Azure DevOps, Jenkins, GitLab)
• Prompt Engineering (RAG or AI agent design concepts)
• Conceptual understanding on Containers (Docer, Kubernetes, Helm) 

Other Requirements